160 programming-"the"-"DAAD"-"EURAXESS"-"U"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Denmark in Denmark
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Associate Professor Christian Damsgaard, Professor Jakob
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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qualifications The successful candidate will be expected to lead an ambitious, and internationally competitive research program that advances the frontiers of single-cell technologies, with a focus on disease
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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We
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physics, mechanical engineering, or environmental modelling) Experience working with scientific or geospatial data Interest in understanding and working with scientific models written in Fortran Programming
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for phage display selections such as toxin purification from venoms. Requirements: Accepted for a MSc program at DTU. Previous working experience in a laboratory setting, e.g. in GMO class-1 labs is mandatory
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cleanroom processes, lithography, and metal deposition. Experience in magnetotransport measurements. Structured work attitude and ability to plan and carry out sophisticated research activities. Excellent
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find this exciting. You should be scientifically curious and
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both. Mathematical maturity and experience with scientific programming are essential. A background in probabilistic methods is highly desirable, at the level of master’s courses in probability